Skip to main content
UCI Machine Learning Repository

Beijing Multi-Site Air-Quality Data

Environment & Air Quality Environmental Monitoring / Air Quality IoT
2,638 views
2 min read
License
Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"Hourly air pollutant measurements (PM2.5, PM10, SO₂, NO₂, CO, O₃) and meteorological data from 12 nationally controlled monitoring sites in Beijing, collected from March 2013 to February 2017 (420,768 instances).[page:1][web:74]"

Catalog Notes

Overview

The Beijing Multi-Site Air-Quality Data set contains hourly measurements of 6 main air pollutants and 6 meteorological variables from 12 nationally controlled air-quality monitoring sites across Beijing, China.[page:1][web:74]

Data Collection

  • Data span from March 1, 2013, to February 28, 2017 (nearly 4 years), resulting in 420,768 hourly observations across all sites.[page:1][web:233]
  • Air-quality data are from the Beijing Municipal Environmental Monitoring Center, and meteorological data for each site are matched with the nearest weather station from the China Meteorological Administration.[page:1][web:236]
  • Missing values are denoted as NA in the dataset.[page:1]

Variables

  • Temporal fields: year, month, day, hour for each observation.[page:1]
  • Air pollutants: PM2.5 (μg/m³), PM10 (μg/m³), SO₂ (μg/m³), NO₂ (μg/m³), CO (μg/m³), O₃ (μg/m³).[page:1][web:236]
  • Meteorological variables: temperature (°C), pressure (hPa), dew point (°C), precipitation (mm), wind direction, wind speed (m/s).[page:1][web:236]
  • station: name of the air-quality monitoring site (12 unique locations).[page:1]

Use Cases

  • Time-series forecasting of air pollution levels (PM2.5, AQI) for public health alerts.[page:1][web:233]
  • Studying relationships between meteorological conditions and air-quality dynamics in urban environments.[page:1][web:236]
  • Benchmarking regression and deep learning models for environmental IoT data.[page:1][web:74]

License

The UCI page specifies that this dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0), allowing sharing and adaptation with appropriate credit.[page:1]

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on UCI Machine Learning Repository.

Preview on UCI Machine Learning Repository

Cite This Dataset

Chen, S. (2017). Beijing Multi-Site Air-Quality Data. [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5RK5G

Source metadata: UCI Machine Learning Repository (2017) · DOI: 10.24432/C5RK5G

Indexed by IoTDataset.com on Jan 29, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

Browse all Environment & Air Quality datasets

Share This Research

More in Environment & Air Quality

View All
Environmental Monitoring UCI Machine Learning Repository

UCI Air Quality Roadside Multisensor Dataset

Real-world hourly air quality measurements from an array of chemical gas sensors deployed at road level in a polluted Italian city, collected from March 2004 to February 2005.[web:46][web:53][web:77]

Jan 26, 2026
Environmental Sensing UCI Machine Learning Repository

Gas Sensor Array Drift Dataset

Long-term laboratory recordings from a 16-sensor chemical gas array exposed to six different gases across multiple batches, designed to study sensor drift and robustness of gas classification models.[web:87][web:89][web:95][web:104]

Jan 27, 2026
Environmental UCI

UCI Air Quality: Italian City Chemical Multisensor Device [9,358 Hourly Records]

Longest freely available on-field IoT air quality sensor deployment: 9,358 hourly records from 5 metal oxide gas sensors in an Italian city. CSV/XLSX format. Used for gas sensor regression, drift correction, and pollution forecasting research.

Apr 17, 2026
Environmental Kaggle

AIR4LIFE: Dual-Node Environmental Monitoring Dataset

AIR4LIFE is a high-resolution air quality monitoring dataset published in late 2025, featuring measurements from a dual-node IoT setup. It tracks pollutants and ambient conditions to evaluate the trade-offs between energy-aware duty cycling and data completeness in environmental sensing networks.

Feb 06, 2026
Environmental Kaggle

UrbanAirNet: Urban Air Quality and Weather Dataset

UrbanAirNet provides a comprehensive collection of urban air quality and weather parameters measured via IoT sensor networks. It includes pollutants like PM2.5, NO2, and O3 alongside meteorological variables.

Feb 05, 2026
Environmental Government

Temperature and Humidity Monitoring: Environmental Sensors

Government-operated sensor network providing temperature and humidity readings for weather monitoring, site supervision, wetland tracking, and ecological research. High-frequency, long-term environmental data collection.

Jan 12, 2026

Explore other topics

All topics →